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Item Details
Title: STOCHASTIC PROCESSES: MODELING AND SIMULATION
Volume: Volume 21
By: D. N. Shanbhag, C. Radhakrishna Rao (Editor)
Format: Hardback

List price: £150.00


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ISBN 10: 0444500138
ISBN 13: 9780444500137
Publisher: ELSEVIER SCIENCE & TECHNOLOGY
Pub. date: 24 February, 2003
Series: Handbook of Statistics
Pages: 1020
Description: Concerned with reviewing and unifying new ideas in the different lines of research and developments in stochastic processes of applied flavour, this volume consists of various topics in stochastic processes. Including manufacturing systems, random graphs and reliability.
Synopsis: This sequel to volume 19 of Handbook on Statistics on Stochastic Processes: Modelling and Simulation is concerned mainly with the theme of reviewing and, in some cases, unifying with new ideas the different lines of research and developments in stochastic processes of applied flavour. This volume consists of 23 chapters addressing various topics in stochastic processes. These include, among others, those on manufacturing systems, random graphs, reliability, epidemic modelling, self-similar processes, empirical processes, time series models, extreme value therapy, applications of Markov chains, modelling with Monte Carlo techniques, and stochastic processes in subjects such as engineering, telecommunications, biology, astronomy and chemistry. particular with modelling, simulation techniques and numerical methods concerned with stochastic processes. The scope of the project involving this volume as well as volume 19 is already clarified in the preface of volume 19. The present volume completes the aim of the project and should serve as an aid to students, teachers, researchers and practitioners interested in applied stochastic processes.
Publication: UK
Imprint: Elsevier Science Ltd
Returns: Returnable
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ESSENTIAL BAYESIAN MODELS (HB)
ESSENTIAL METHODS FOR DESIGN BASED SAMPLE SURVEYS (HB)
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HANDBOOK OF STATISTICS (HB)
INTRODUCTION TO MATHEMATICAL AND INFERENTIAL STATISTICS (HB)
LINEAR MODELS (HB)
LINEAR MODELS AND GENERALIZATIONS (HB)
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MACHINE LEARNING: THEORY AND APPLICATIONS (HB)
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